Triple

T8511812
Position Surface form Disambiguated ID Type / Status
Subject Tom Wisdom E201469 entity
Predicate notableWork P4 FINISHED
Object Murder City
Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
 E738600 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Murder City | Statement: [Tom Wisdom, notableWork, Murder City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murder City
Context triple: [Tom Wisdom, notableWork, Murder City]
  • A. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • B. Dead City
    Dead City is a gritty crime novel by Shane Stevens, known for its dark, realistic portrayal of organized crime and urban violence.
  • C. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • D. Dreadzone
    Dreadzone is a British electronic music group known for blending dub, reggae, and dance influences into a distinctive, festival-friendly sound.
  • E. Hell-Ville
    Hell-Ville is the main town and administrative center of Nosy Be, an island off the northwest coast of Madagascar known for its tourism and port activities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Murder City
Triple: [Tom Wisdom, notableWork, Murder City]
Generated description
Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murder City
Target entity description: Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
  • A. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • B. Dead City
    Dead City is a gritty crime novel by Shane Stevens, known for its dark, realistic portrayal of organized crime and urban violence.
  • C. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • D. Dreadzone
    Dreadzone is a British electronic music group known for blending dub, reggae, and dance influences into a distinctive, festival-friendly sound.
  • E. Hell-Ville
    Hell-Ville is the main town and administrative center of Nosy Be, an island off the northwest coast of Madagascar known for its tourism and port activities.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60b0d4c8190812ddbc1c17389c8 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e47542c8190af93dca3ce16a04b completed April 2, 2026, 11:08 a.m.
NEDg Description generation batch_69ce4ff9792c81908d76141904a170bc completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce50acae5881908f1d2c0e21dd7f1d completed April 2, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:15 p.m.